RRepoGEO

REPOGEO REPORT · LITE

aarora4/Awesome-Prediction-Market-Tools

Default branch main · commit eb0725a6 · scanned 6/23/2026, 3:58:11 PM

GitHub: 515 stars · 149 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface aarora4/Awesome-Prediction-Market-Tools, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to explicitly state it's an 'awesome list'

    Why:

    CURRENT
    > The most complete, community-maintained directory of prediction market tools — analytics platforms, trading bots, dashboards, APIs, data feeds, alert systems, educational resources, and more.  
    > Covering Polymarket, Kalshi, Manifold, Hyperliquid, and the wider forecasting ecosystem.
    COPY-PASTE FIX
    > This is an **awesome list** — the most complete, community-maintained directory of prediction market tools. It serves as a central resource for discovering analytics platforms, trading bots, dashboards, APIs, data feeds, alert systems, educational resources, and more.  
    > Covering Polymarket, Kalshi, Manifold, Hyperliquid, and the wider forecasting ecosystem.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the content of a permissive license, such as the MIT License.
  • mediumtopics#3
    Expand repository topics to include more specific tool categories

    Why:

    CURRENT
    ai-agents, awesome-list, awesome-readme, kalshi, polymarket, prediction-market, prediction-markets
    COPY-PASTE FIX
    ai-agents, awesome-list, awesome-readme, kalshi, polymarket, prediction-market, prediction-markets, data-analytics, trading-bots, arbitrage, real-time-data, forecasting, market-data, crypto-trading

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface aarora4/Awesome-Prediction-Market-Tools
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gnosis Safe
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gnosis Safe · recommended 1×
  2. web3.py · recommended 1×
  3. Dune Analytics · recommended 1×
  4. Python · recommended 1×
  5. pandas · recommended 1×
  • CATEGORY QUERY
    What tools are available for analyzing prediction market data and making informed decisions?
    you: not recommended
    AI recommended (in order):
    1. Gnosis Safe
    2. web3.py
    3. Dune Analytics
    4. Python
    5. pandas
    6. numpy
    7. matplotlib
    8. seaborn
    9. ethers.js
    10. R
    11. quantmod
    12. ggplot2
    13. Google Sheets
    14. Microsoft Excel
    15. Zapier
    16. TradingView
    17. Zignaly
    18. 3Commas

    AI recommended 18 alternatives but never named aarora4/Awesome-Prediction-Market-Tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for platforms to track real-time odds, liquidity, and arbitrage opportunities across forecasting markets.
    you: not recommended
    AI recommended (in order):
    1. Polymarket
    2. Kalshi
    3. Manifold Markets
    4. Smarkets
    5. Betfair Exchange
    6. PredictIt

    AI recommended 6 alternatives but never named aarora4/Awesome-Prediction-Market-Tools. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of aarora4/Awesome-Prediction-Market-Tools?
    pass
    AI did not name aarora4/Awesome-Prediction-Market-Tools — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts aarora4/Awesome-Prediction-Market-Tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aarora4/Awesome-Prediction-Market-Tools explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo aarora4/Awesome-Prediction-Market-Tools solve, and who is the primary audience?
    pass
    AI did not name aarora4/Awesome-Prediction-Market-Tools — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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